Paper
8 June 2024 Cost-aware service function chain migration in satellite-ground integrated networks
Zhiyu Fu, Jing Ran, Hefei Hu
Author Affiliations +
Proceedings Volume 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024); 131711P (2024) https://doi.org/10.1117/12.3031967
Event: Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024), 2024, Jinan, China
Abstract
The integration of satellite and ground networks (SGIN) represents a significant advancement in the evolution of 6G mobile technologies. The rapid movement of satellites leads to swift changes in network topology. By adjusting the Service Function Chain (SFC) to these frequent changes, it's possible to diminish SFC delay and enhance the user experience. This study addresses the challenge of SFC migration within the dynamic SGIN framework. We initially developed a mathematical formulation for the VNF migration and SFC reconfiguration task, with the objective of optimizing the total system benefits. An enhanced genetic algorithm was introduced as a solution, striking an optimal compromise between SFC delay and the expenses associated with migration. When we compare our findings to previous algorithms, it's clear that our method substantially reduces the costs linked to network migration, enhances the overall profitability of services, and achieves a more favorable balance between SFC latency and migration costs.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhiyu Fu, Jing Ran, and Hefei Hu "Cost-aware service function chain migration in satellite-ground integrated networks", Proc. SPIE 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024), 131711P (8 June 2024); https://doi.org/10.1117/12.3031967
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KEYWORDS
Satellites

Genetic algorithms

Integration

Matrices

Telecommunication networks

Binary data

Computer simulations

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